Model-Based learning is a methodology that facilitates students' construction of scientific knowledge, which, sometimes, includes restructuring their mental models. Taking into consideration students' learning process, its aim is to promote a deeper understanding of phenomena's dynamics through the manipulation of models. Our aim was to ascertain…

When students build physical models from prefabricated components to learn about model systems, there is an implicit trade-off between the physical degrees of freedom in building the model and the intensity of instructor supervision needed. Models that are too flexible, permitting multiple possible constructions require greater supervision to…

Studies on students' perceptions of learning in business simulations often suggest that students like simulations and view them more positively than both lectures and case discussions. However, research on the actual learning outcomes deriving from participating in business simulations still needs to be pursued. Consequently, the purpose of this…

This study aimed to develop the small-scale experiments involving electrochemistry and the galvanic cell model kit featuring the sub-microscopic level. The small-scale experiments in conjunction with the model kit were implemented based on the 5E inquiry learning approach to enhance students' conceptual understanding of electrochemistry. The…

A considerable amount of research has been undertaken to provide insights into the valid assessment of team performance. However, in many settings, manual and therefore labor-intensive assessment instruments for team performance have limitations. Therefore, automated assessment instruments enable more flexible and detailed insights into the…

Considers the relevance of cognitive learning theory to instructional design for effective learning. Highlights include the organization of knowledge; systems approach; cognitive process learning; schema theory; and components of a model for instructional design, including pretesting, motivational considerations, media selection, and validation.…